• Develop SuiteScript 2.x customizations. • Build and maintain RESTlets, Suitelets, User Events, Client Scripts, and Scheduled Scripts. • Design and optimize Map/Reduce processes. • Develop integrations with external applications. • Troubleshoot production issues and performance bottlenecks. • Support deployment and release activities. • Create technical documentation and support materials. • Participate in code reviews and development best practices.

• Responsible for the administration and automation of mainframe systems • Work closely with other team members to ensure the reliability and efficiency of mainframe operations

Role Description We are seeking an experienced network automation script specialist to drive innovative test transformation. Your mission is to create an automation script framework that enables the development of new automation scripts that can seamlessly integrate into existing software development pipelines to intelligently verify PR code changes. This person will analyze existing network automation scripts and develop a list of automation script enhancements to optimize the verification phase of the product SDLC process. This includes using AI to design, develop, and enhance new and existing automation scripts. Experience with integrating agentic AI workflows into automation scripts to provide test failure problem determination and suggest possible remediations is a must. You will be part of a team that collaborates with the larger DevTestOps Team and software development teams to build an immersive, intuitive, robust, and full-featured control center for managing and operating world-wide network automation test infrastructure. The Test Automation Control Center will consist of a set of cloud-hosted applications controlling multiple physical on-prem systems distributed worldwide. Control capabilities cover scheduling, monitoring, analyzing, and reporting tests from the initial developer Pull Requests to the final release regression validation. Managed equipment includes the entire range of Celestica switches, high-performance IXIA traffic generators, and a variety of equipment commonly found in data center racks. You will use your knowledge of AI agents to integrate intelligent workflows that select the best automation test cases to run, diagnose test failures for rapid resolution, and analyze test coverage to provide predictive product quality assessment. You are someone who views a "test failure" not as a manual ticket to close, but as a data point for an AI agent to analyze. You prefer building ecosystems over writing one-off scripts, and you are comfortable investigating product failures one minute and integrating agentic AI agents into a CI/CD pipeline the next. Qualifications - Expert Development: Proven experience building complex automation script frameworks using extensive sets of common libraries. - Testing Infrastructure: In depth experience running, triaging, and debugging automation scripts. - Networking & Hardware Context: Familiarity with high-performance networking environments, specifically SONiC, OpenBMC, and data center hardware management. - AI/ML Application: Practical experience integrating AI agents or LLM-based workflows into software applications to automate decision-making and analysis. - Engineering Rigor: Deep understanding of test-driven development (TDD), CI/CD pipelines, and robust software engineering practices. - Systems Thinking: Ability to bridge the gap between cloud-hosted software and physical hardware distributed across global sites. Requirements - Infrastructure & SDLC Integration - Architect & Design: Lead the design and implementation of a robust automation script framework that enables AI to quickly create new automation scripts that will run within a confederation of Automation Testbeds. - Full-Stack Development: Maintain and enhance existing automation scripts to maintain hardened execution reliability. - AI Integration: Integrate agentic AI workflows to automate resolution of script failures. - End-to-End Visibility: Analyze script failures to identify software components that are below accepted reliability standards. - Collaboration: Work closely with DevTestOps and software development teams to ensure the control center provides services to engineers to assist with debugging and retesting updated scripts. Benefits - Salary range: 118K - 184K, including Base Salary and target Short-Term Incentive (STI) compensation. - Comprehensive benefits package offered in addition to the salary range. Physical Demands - Duties of this position are performed in a normal office environment. - Duties may require extended periods of sitting and sustained visual concentration on a computer monitor or on numbers and other detailed data. - Repetitive manual movements (e.g., data entry, using a computer mouse, using a calculator, etc.) are frequently required. - Occasional travel may be required.

Role Description As the Software Engineer II, you will serve as a hands-on engineer and technical authority, spearheading the design and implementation of sophisticated learning and skilling solutions that enhance our Microsoft Skilling platforms. - Design, develop and maintain engineering infrastructure, tools, and services that power the Continuous Integration and Continuous Delivery/Deployment (CI/CD) for Microsoft Learning (Skilling) platform and services. - Develop software features for Skilling platforms, including: - Requirement gathering - Architecture - Application and database design - Development, testing, and deployment - Leverage AI and develop Copilot features within the application to enhance user experience and productivity. - Support and maintain existing services & integrations with Line of Business (LOB) applications across the enterprise. - Establish and enforce proficient practices in coding, testing, and documentation to ensure high standards for code quality, performance, and service reliability. - Improve the reliability and debuggability of test frameworks by integrating automation and gates. - Develop and utilize AI/LLM models to analyze test failures, identifying root causes such as test flakiness or infrastructure issues. - Transition manual testing efforts currently handled by vendor Directly Responsible Individuals (DRIs) into automated processes. - Optimize, debug, refactor, and reuse code to improve performance and maintainability. - Work across organizations and directly with partners both in WWL and across Microsoft. - Drive identification of dependencies and the development of design documents for security features. - Communicate across teams and resolve conflicts between teams. - Embody our culture and values. Qualifications - Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to C#, JavaScript, or Python OR equivalent experience. - Preferred Qualifications: - Master's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. - 2+ years of experience in cloud development principles and patterns, particularly loosely coupled architectures, micro-services and DevOps model. - 2+ years of experience coding in C#, .Net and React. - 2+ years of experience in building and deployment pipelines from scratch and using Infrastructure as Code (IaaC) templates such as Azure Resource Manager (ARM) templates or Bicep. - 2+ years of experience in Database development in Azure SQL, Cosmos DB, or Azure Data Factory (ADF). - Experience with Python, AI/LLM-based tools and frameworks, particularly for analyzing test failures and predicting root causes. - Experience in developing applications using RESTful APIs, microservices architecture, ASP.NET, and Azure AI Foundry. - Knowledge of data structures, algorithms, and software design principles. - Experience in enterprise-scale technical experience with cloud and hybrid infrastructures, architecture designs, migrations, and technology management. - Knowledge of tools like Azure DevOps or similar CI/CD platforms for integrating and managing test gates. - Production experience with two or more of the following domains: automated secret and certificate management, building private firewalled networks with VPNs, building and managing multiple automated K8s clusters, implementing a global multi-region tech stack, automating API gateways, or automated code first data pipelines (Azure Data Factory preferred). - Excellent communication skills and ability to collaborate in a multi-disciplinary team consisting of Software Engineers, Program Managers, and Data Scientists. Requirements - Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 per year. - There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $133,800 - $219,200 per year. Benefits - Certain roles may be eligible for benefits and other compensation. - Find additional benefits and pay information here .